Looking at Data

Learning to explore data with plots

Overview

The Looking at Data workshops will teach you how to explore your data using plots. You will learn how to use exploratory data analysis to find unexpected features in data and build better models by iterating between fitting and plotting. Both static and interactive graphics will be used, using open source software: R with ggplot2 and GGobi. All course material will be available on the web.

For more details see the descriptions in upcoming workshops.

All funds raised from these workshops will go to the non-profit GGobi Foundation, which supports research on interactive and dynamic graphics.

Presenters

  • Dianne Cook is a full professor at Iowa State University. She has been an active researcher in the field of interactive and dynamic graphics for 16 years, and regularly teaches information visualization, multivariate analysis and data mining. She is an author of the book Interactive and Dynamic Graphics for Data Analysis, Springer 2007.
  • Hadley Wickham is an Assistant Professor at Rice University. He won the John Chambers Award for statistical computing in 2006 for his graphics work in association with ggplot2, and is authoring a book on the software that will be published Summer 2009.
  • Heike Hofmann is an Associate Professor at Iowa State University. She has been an active researcher in interactive graphics for 10 years, a developer of the software MANET, and an editor of the book Graphics of Large Datasets, Springer, New York 2006.

All three presenters are core members of the GGobi development team.

Upcoming workshops

Tentatively planning for August 2010, Vancouver.

Sign up for our low-frequency mailing list to find out when the next course will be offered:

Email:

Past workshops

Austin, TX, 19 October 2009.

Washington, DC, 30-31 July 2009

Sacramento, California, 31 October 2007

Salt Lake City, 28 Jul 2007

Recommended reading

Personalised courses

Would you like a course customised for your needs? We can put together a custom course for groups as small as five. Please email us for quotes.

This bit will have links to previous courses, and downloadable bits for past students

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See ggplot2 in print:

See more examples on the ggplot2 website.

See GGobi in action:

For more movies, see the GGobi website.

© 2007-2009.